Research in Statistical Science is based on a blend of project-based research groups, multidisciplinary collaborations and individual research programmes. The department's methodological research is organised into six areas:


This theme has a research programme that encompasses both applied health research and the development and evaluation of statistical methods.

Computational Statistics

This theme is concerned with advancing the theory, methodology, algorithmic development and application of simulation based approaches, such as Markov Chain Monte Carlo, to statistical inference.

Financial Risk, Insurance, Econometrics and Stochastic Finance

This theme has a research program that encompasses a range of theoretical, methodological and applied problems encountered in financial risk, insurance, economics and finance.

General Theory and Methodology

The research carried out under this theme covers foundational and theoretical aspects of probability and inferential statistics, and generic statistical methodology.

Multivariate and High Dimensional Data

This theme has a research programme that encompasses both the theoretical and methodological problems encountered when analysing multivariate and high dimensional data.

Stochastic Modelling and Time Series

This theme covers the development of generic stochastic models and the investigation of their properties, as well as modelling and inference for applications in a range of physical and biological sciences.

Much of this work is interdisciplinary and involves collaborations within and outside UCL.

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